PSW statistical LSB image steganalysis

Steganography is the art and science of producing covert communications by concealing secret messages in apparently innocent media, while steganalysis is the art and science of detecting the existence of these. This manuscript proposes a novel blind statistical steganalysis technique to detect Least Significant Bit (LSB) flipping image steganography. It shows that the technique has a number of major advantages. First, a novel method of pixel color correlativity analysis in Pixel Similarity Weight (PSW). Second, filtering out image pixels according to their statistically detected suspiciousness, thereby excluding neutral pixels from the steganalysis process. Third, ranking suspicious pixels according to their statistically detected suspiciousness and determining the influence of such pixels based on the level of detected anomalies. Fourth, the capability to classify and analyze pixels in three pixel classes of flat, smooth and edgy, thereby enhancing the sensitivity of the steganalysis. Fifth, achieving an extremely high efficiency level of 98.049% in detecting 0.25bpp stego images with only a single dimension analysis

Steganoanalytical Method Based on the Analysis of Singular Values of Digital Image Matrix Blocks

The rapid development of digital steganography over the past decade involving numerous scien-tific publications in the open press, devoted to the new steganomethods and algorithms, have led to the possibility of wide use of the results obtained. At the same time, the organization of a ste-ganographic channel can lead to various kinds and degrees of negative consequences both for individuals and for society as a whole. Because of this, the need and relevance of providing ef-fective digital image steganalysis is currently increasing. One of the most widely used ste-ganographic methods today is the LSB-method. The specific area of its application is in the or-ganization of a hidden low bandwidth communication channel. Under these conditions, the ex-isting steganalitic methods turn out to be ineffective. The aim of this paper is to increase the ef-ficiency of image steganalysis in the conditions of low bandwidth of a covert channel organized by the LSB-method. Achieving this aim is carried out by developing a new method based on the analysis of the normalized separation of the maximum singular numbers of the image matrix blocks. The algorithmic implementation of the developed method is superior in efficiency when compared to the existing modern analogues, in terms of the covert channel for bandwidth values of less than 0.1 bpp. An important information component of the results of the proposed meth-od is its ability to determine the cover-image quality factor of the primary lossy compression

Algoritma Kriptografi Triple Des dan Steganografi LSB sebagai Metode Gabungan dalam Keamanan Data

Keamanan data merupakan hal yang terpenting dalam proses komunikasi data, yang menjadi faktor penting dalam transmisi data jarak jauh seperti tranmisi untuk pengiriman data yang terditribusi lewat internet dalam jumlah pengguna yang banyak, sehingga sangat rentan dan memungkinkan pihak lain dengan sengaja menyadap dan mengubah data sehingga merugikan pihak pemilik data. Dalam penelitian ini menggunakan algoritma TripleDES yang merupakan salah satu algoritma kriptografi untuk menjaga kerahasiaan data dengan mengubah pesan yang dikirim dalam bentuk kode-kode tertentu, dimana algoritma TrpleDES ini melakukan proses enkripsi sebanyak tiga kali. Setelah data di sandikan proses selanjutnya  data disisipkan dalam model metode steganografi LSB yang mekanisme kerjanya merekayasa nilai bit terakhir dalam satu byte data, kedua kombinasi model keamanan ini data sulit untuk dipecahkan oleh pihak lain yang tidak bertanggung jawab. Dalam proses percobaan ini media gambar yang digunakan pada saat menyisipkan pesan hasil ukurannya bertambah sedikit lebih besar dari ukuran asli media gambar karena sudah terdapat pesan rahasia di dalam media gambar tersebut. Abstract Data security is crucial in a data communication process. It is an important factor in long-distance data transmissions such as data transmission distributed over the internet loaded with a large number of other users. This causes the transmission very vulnerable and allows other parties to intentionally tap in and possibly change the data that might be harmful for the data owner. In this study a TripleDES algorithm is used. It is one of the cryptographic algorithms that maintains the confidentiality of data by changing sent messages in the form of certain codes. The advantage of the Triple DES algorithm is because this algorithm performs the encryption process three times. After the data has been encrypted, the process is then inserted into the LSB steganographic model, whose mechanism works to engineer the value of the last bit into one byte of data. The combination of the two security models are difficult to breach by other irresponsible parties. In this experimental process, the image used to insert the message results in a size that is slightly larger than the original size of the image media because there is already a secret message in the media image

Data Hiding and Its Applications

Data hiding techniques have been widely used to provide copyright protection, data integrity, covert communication, non-repudiation, and authentication, among other applications. In the context of the increased dissemination and distribution of multimedia content over the internet, data hiding methods, such as digital watermarking and steganography, are becoming increasingly relevant in providing multimedia security. The goal of this book is to focus on the improvement of data hiding algorithms and their different applications (both traditional and emerging), bringing together researchers and practitioners from different research fields, including data hiding, signal processing, cryptography, and information theory, among others